<p><span>Software Engineering for Automotive Systems: Principles and Applications</span><span> discusses developments in the field of software engineering for automotive systems.</span></p><p><span>This reference text presents detailed discussion of key concepts including timing analysis and reliabi
Software Engineering for Automotive Systems: Principles and Applications
β Scribed by P. Sivakumar (editor), B. Vinoth Kumar (editor), R. S. Sandhya Devi (editor)
- Publisher
- CRC Press
- Year
- 2022
- Tongue
- English
- Leaves
- 176
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Software Engineering for Automotive Systems: Principles and Applications discusses developments in the field of software engineering for automotive systems.
This reference text presents detailed discussion of key concepts including timing analysis and reliability, validation and verification of automotive systems, AUTOSAR architecture for electric vehicles, automotive grade Linux for connected cars, open-source architecture in the automotive software industry, and communication protocols in the automotive software development process.
Aimed at senior undergraduate and graduate students in the fields of electrical engineering, electronics and communication engineering, and automobile engineering, this text:
- Provides the fundamentals of automotive software architectures.
- Discusses validation and verification of automotive systems.
- Covers communication protocols in the automotive software development process.
- Discusses AUTOSAR architecture for electric vehicles.
- Examines open-source architecture in the automotive software industry.
β¦ Table of Contents
Cover
Half Title
Title Page
Copyright Page
Contents
Preface
Editor Biographies
Chapter 1: Role of AUTOSAR in Automotive Software Trends
Chapter 2: Use of Communication Protocols in Automotive Software Development Process
Chapter 3: Bootloader Design for Advanced Driver Assistance System
Chapter 4: Advanced System Requirements for Automotive Automation
Chapter 5: Software Architecture for Autonomous Trouble Code Diagnostics in Smart Vehicles
Chapter 6: Automotive Grade Linux: An Open-Source Architecture for Connected Cars
Chapter 7: Edge Node Creation Using Edge Computing Tools for Automotive Applications
Chapter 8: Nanosensors for Automotive Applications
Index
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